Abstract

Oncolytic virotherapy is a promising cancer treatment that harnesses the power of viruses. Through genetic engineering, these viruses are cultivated to infect and destroy cancer cells. While this therapy has shown success in a range of clinical trials, an open problem in the field is to determine more effective perturbations of these viruses. In this work, we use a controlled therapy approach to determine the optimal treatment protocol for a delayed infection from an immune-evading, coated virus. We derive a system of partial differential equations to model the interaction between a growing tumour and this coated oncolytic virus. Using this system, we show that viruses with inhibited viral clearance and infectivity are more effective than uncoated viruses. We then consider a hierarchical level of coating that degrades over time and determine a nontrivial initial distribution of coating levels needed to produce the lowest tumour volume. Interestingly, we find that a bimodal mixture of thickly coated and thinly coated virus is necessary to achieve a minimum tumour size. Throughout this article we also consider the effects of immune clearance of the virus. We show how different immune responses instigate significantly different treatment outcomes.

Highlights

  • Oncolytic viruses are genetically engineered viruses that preferentially target and destroy cancer cells [1]

  • To investigate the applicability of this suggested treatment improvement and to optimise the protocol, we have developed a system of Partial differential equations (PDEs) based on their model, that incorporates the interaction between an oncolytic virus and a population of tumour cells

  • Extending both of the modelling frameworks in [30] and [15], we developed a system of PDEs that considered the spatial interaction of an oncolytic virus with a growing population of susceptible tumour cells

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Summary

Introduction

Oncolytic viruses are genetically engineered viruses that preferentially target and destroy cancer cells [1]. Nanoparticles have been investigated as a viral DNA and RNA delivery system as they can be engineered to have a decreased immune response [12], and their physical properties can be used to provide controlled viral release and diminish infectivity, maintaining an elevated local concentration [4, 13, 14]. Polymerbased nanomaterials, such as polyethyleneglycol (PEG), have been shown to be effective at shielding particles from the extracellular environment and preventing clearance [12]

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